Sep 23–26, 2019
Matthew Horton

Matthew Horton
Senior Director, Data Science, Major League Baseball

Matt Horton is the Senior Director of Data Science at Major League Baseball (MLB). In his 11+ years at MLB, Matt has developed numerous projects including predicting ticket buyers’ future purchasing behavior to aid teams in prioritizing their marketing efforts and building a framework for predicting and preventing subscriber churn for MLB’s game-streaming service, MLB.TV. Most recently, Matt’s team has been focused on quantifying fans’ relationships with their favorite teams, modeling trends in both team and league-wide attendance, and estimating fans’ future engagement with MLB.
Prior to joining MLB, Matt worked for Rosetta and Accenture. He has a BS in Statistics from the University of Tennessee and a Masters in Applied Statistics from Cornell University.
In addition to him being a huge baseball fan, Matt is also an avid fan of sports in general rooting for teams from his home state of Tennessee, including the Volunteers, Titans, Predators, and Grizzlies.


5:25pm6:05pm Wednesday, September 25, 2019
Location: 1A 08/10
Secondary topics:  Media and Advertising
Aaron Owen (Major League Baseball), Matthew Horton (Major League Baseball), Josh Hamilton (MLB)
Utilizing SAS, Python, and AWS Sagemaker, MLB’s data science team discusses how it predicts ticket purchasers’ likelihoods to purchase again, evaluates prospective season schedules, estimates customer lifetime value, optimizes promotion schedules, quantifies the strength of fan avidity, and monitors the health of monthly subscriptions to its game-streaming service. Read more.

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